ZipRecruiter

Log In

1

Machine Learning Ai Intern Jobs in Georgia (NOW HIRING)

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

next page

Showing results 1-20

All JobsMachine Learning Ai Intern JobsMachine Learning Ai Intern Jobs in Georgia

Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

Machine Learning Ai Intern jobs near you

Vertex AI Machine Learning Architect

CirrusLabs

Alpharetta, GA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
CirrusLabs is a niche digital transformation company focused on innovation and co-creating success with its customers. They are seeking a Vertex AI Machine Learning Architect to develop, deploy, and manage machine learning models using Google Cloud's Vertex AI platform, while collaborating with teams to implement AI solutions that solve complex business problems.
Responsibilities:
• Design, develop, and deploy machine learning models using Vertex AI.
• Integrate Vertex AI with other Google Cloud services such as AlloyDB, BigQuery, Cloud Storage, and Dataflow.
• Utilize AutoML capabilities to create high-quality models with minimal manual effort.
• Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
• Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
• Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
• Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
• Perform hyperparameter tuning to enhance model performance.
• Utilize Vertex AI Feature Store for feature management and reuse.
• Conduct online and batch predictions using Vertex AI prediction services.
• Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Qualifications:
Required:
• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform) services, specifically Vertex AI.
• Strong programming skills in Python or a similar language.
• Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
• Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with AutoML tools and techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.
Company:
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT. Founded in 2005, the company is headquartered in Alpharetta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply